Unsupervised learning spatio-temporal features for human activity recognition from RGB-D video data
(2013)
Presentation / Conference Contribution
Being able to recognize human activities is essential for several applications, including social robotics. The recently developed commodity depth sensors open up newpossibilities of dealingwith this problem. Existing techniques extract hand-tuned fea... Read More about Unsupervised learning spatio-temporal features for human activity recognition from RGB-D video data.